Evidence map›Paper›PMID 36993058›Full record

ArticleJournal of family medicine and primary care2022

Clinico-pathological study among COVID-19 patients during the second wave of COVID-19 pandemic in Andaman Nicobar Island- "A retrospective cross-sectional study".

Mhasisielie Zumu, Prodeep K Padhy, Sampa Choudhury, Kausheen Shail, Mairaj M Singh, Beeson Thomas

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mhasisielie ZumuDepartment of General Medicine, Andaman Nicobar Islands Institute of Medical Sciences, Port Blair, Andaman and Nicobar Islands, India.
Prodeep K PadhyDepartment of General Medicine, Andaman Nicobar Islands Institute of Medical Sciences, Port Blair, Andaman and Nicobar Islands, India.
Sampa ChoudhuryDepartment of Pathology, Andaman Nicobar Islands Institute of Medical Sciences, Port Blair, Andaman and Nicobar Islands, India.
Kausheen ShailFinal Year Medical Student, General Medicine, Andaman Nicobar Islands Institute of Medical Sciences, Port Blair, Andaman and Nicobar Islands, India.
Mairaj M SinghFinal Year Medical Student, General Medicine, Andaman Nicobar Islands Institute of Medical Sciences, Port Blair, Andaman and Nicobar Islands, India.
Beeson ThomasDepartment of Community Medicine, Andaman Nicobar Islands Institute of Medical Sciences, Port Blair, Andaman and Nicobar Islands, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Andaman and Nicobar Islands, a Union Territory of India is Tropical Island, has better air quality and since its specific geographic location that may have an impact on the clinical and pathological features. So, this study is intended to describe the clinical and pathological features of COVID-19 infection and its association with the severity of the disease among adult COVID-19 patients. Material and Method: A cross-sectional study done retrospectively among 100 adult COVID-19 RT PCR positive in Tertiary Hospital, tropical Islands by reviewing medical records. The clinical, laboratory parameters were assessed. Results: In the study 65% of the population were male, and 55% of COVID-19 cases were between the age group of 25 to 50 years of age. At presentation, 96% had respiratory symptoms, 91% had fever, 33% had gastrointestinal symptoms, 10% had musculoskeletal symptoms, and 6% have a history of contact with COVID-19 positive patients. The severe COVID-19 patients had longer duration of fever ( Conclusion: Severe COVID-19 patients at presentation had longer duration of fever, cough, and breathlessness, hence should seek early medical care. Lab parameters is a great tool in the assessment of patient who can go to have severe disease and thus help in formulating Guidelines.

Indexed as

Andaman IslandclinicopathologyCOVID-19tropical Islands

Identifiers

PMID36993058
PMCPMC10041307

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.